Comparison of predictive effect between the single auto regressive integrated moving average (ARIMA) model and the ARIMA-generalized regression neural network (GRNN) combination model on the incidence of scarlet fever / 中华流行病学杂志
Chinese Journal of Epidemiology
; (12): 964-968, 2009.
Artigo
em Chinês
| WPRIM (Pacífico Ocidental)
| ID: wpr-321087
Biblioteca responsável:
WPRO
ABSTRACT
R2) of the two models were 0.801,0.872 respectively. The fitting efficacy of the ARIMA-GRNN combination model was better than the single ARIMA, which had practical value in the research on time series data such as the incidence of scarlet fever.
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo de incidência
/
Estudo prognóstico
Idioma:
Chinês
Revista:
Chinese Journal of Epidemiology
Ano de publicação:
2009
Tipo de documento:
Artigo